- Doctor of Philosophy (Queen's, 2005)
- Levels I/II Certification in High Performance Computing (HPCVL, 2001/2004)
- Master of Arts (Queen's, 2001)
- Bachelor of Arts (York, 1999)
- Professor (Manitoba, 2017)
- Adjunct Professor of Psychology (UBC, 2015)
- Associate Professor (Manitoba, 2011)
- Assistant Professor (Manitoba, 2007)
- NSERC Postdoctoral Fellow (McMaster, 2005)
- Aujla, H., Jamieson, R. K, & Cook, M. T. (in press). A psychologically inspired search engine. In Lecture Notes in Computer Science: High Performance Computing Systems and Applications. Springer Berlin Heidelberg.
- Curtis, E. T., & Jamieson, R. K. (in press). Computational and empirical simulations of selective memory impairments: Converging evidence for a single-system account of memory dissociations. Quarterly Journal of Experimental Psychology
- Jamieson, R. K., Avery, J. E., Johns, B. T., & Jones, M. N. (2018). An instance theory of semantic memory. Computational Brain and Behavior, 2, 119-136.
- Jamieson, R. K., Mewhort, D. J. K., & Hockley, W. E. (2016). A computational account of the production effect: Still playing twenty questions with nature. Canadian Journal of Experimental Psychology, 70, 154-164.
- Jamieson, R. K., Crump, M. J. C., & Hannah, S. D. (2012). An instance theory of associative learning. Learning & Behavior, 40, 61-82.
- Jamieson, R. K., & Mewhort, D. J. K. (2009). Applying an exemplar model to the serial reaction time task: Anticipating from experience. Quarterly Journal of Experimental Psychology, 62, 1757-1783.
- Psychology 7310: Psychocinematics
- Psychology 7310: Computational Psychology
- Psychology 7310: Memory Disorders
- Psychology 7210: Quantitative Methods in Psychology 2
- Psychology 7200: Quantitative Methods in Psychology 1
- Psychology 3580: Language and Thought
- Psychology 3390: Thinking
- Psychology 3340: Design and Analysis for Psychological Experiments
- Psychology 2480: Cognitive Processes
National Sciences and Engineering Research Council of Canada (NSERC)
I conduct computational and experimental examinations of how people learn, remember, think, and know. I am particularly interested in the problems of implicit learning, associative learning, memory, and language. My theoretical goal is to develop a coherent and general account of learning and memory. My applied goal is to leverage those theoretical discoveries to advance cognitive computing.